AI Deployment Strategist

Fundamental is an AI company pioneering the future of enterprise decision-making. Fundamental has developed NEXUS, the world's most powerful Large Tabular Model (LTM), purpose-built for the structured records that drive enterprise decisions. An AI Deployment Strategist owns the outcome of a NEXUS deployment: sitting with the customer, finding the decisions where a better prediction changes the P&L, turning them into use cases an engineer can build, defining how value will be measured before the first model is trained, and making sure the finished model gets used. The role is paired with a Forward Deployed Engineer, who owns the build while the Deployment Strategist owns the why, the what, and the what next. Most of the week is spent with customers, in their offices, inside their data and organization, and the role involves travel more than half the time.

Responsibilities

Run discovery with business and data leaders: map decision points to prediction problems, qualify data availability, and prioritize use cases by value and feasibility; Write the use-case brief for every deployment: business question, prediction target, data sources, baseline, success KPI, and owner on the customer side; Define value before the build and sign it off after: translate model lift into dollars, hours, or risk in language the sponsor's CFO accepts; Drive adoption: get the model into the customer's workflow, train the users, track usage, and fix what blocks it; Shape the next use cases: keep a live roadmap per account and hand qualified expansion to the Account Executive with the business case already written; Work hand in hand with your Forward Deployed Engineer: unblock data access, stakeholders, and priorities so they can build; Carry customer patterns back to Product, Research, and leadership, and turn what worked into playbooks the team reuses

Requirements

2 to 6 years in a role where you were judged on outcomes with a customer or client (consulting, technical sales, customer-facing data science, product, founding or early-startup operating roles); Technically curious with a working floor: comfortable in a Python or SQL notebook, able to explain what a prediction problem is and read a backtest; Articulate and confident: able to structure a messy problem on a whiteboard, write a crisp one-pager, and hold a room of senior people; Fast learner with evidence of having picked up a domain or technology quickly and being able to show what you built or shipped; Hungry and mobile: comfortable with travel, long customer days, and ambiguity; Humble and team-first: willing to take the unglamorous task when it moves the account; Travel to customer sites 50% or more of the time

Nice to have

Depth in one industry Fundamental sells into: energy, financial services, insurance, shipping, retail, or private equity; Prior exposure to applied ML, forecasting, or analytics products; A second language used in business

Benefits

Competitive base plus equity in a Series A company at a $1.4B valuation; Medical, dental, and vision insurance; company equipment; wellbeing, learning, and home office stipends; A structured eight-week ramp on NEXUS, prediction framing, and value modeling, then your own accounts; A mission-driven culture that values diversity of thought, humility, and bias toward action